{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ghiso\Dropbox\articoli fatti facenti e da fare\China global contracting\BLOWBACK\ISQ\finale\blowback.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}30 May 2024, 17:30:29

{com}. use "Blowback (annual aggregates) final.dta" 

. 
. line aei_investment_bns contracts_aei_bn fdi_flow_usd_bns global_loans_bn value_engdes_bns official_finance_usd_bns year
{res}
{com}. 
. clear

. use "Blowback (panel country-year) final"

. 
. generate value_engdes_bns = value_engdes/100000
{txt}(678 missing values generated)

{com}. 
. drop if missing(cown)
{txt}(152 observations deleted)

{com}. 
. collapse (sum) value_engdes_bns, by(cown)
{res}
{com}. 
. merge 1:m cown using "idfile.dta"
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}              45
{txt}{col 9}from master{col 30}{res}               1{txt}  (_merge==1)
{col 9}from using{col 30}{res}              44{txt}  (_merge==2)

{col 5}Matched{col 30}{res}             197{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
. spmap value_engdes_bns using "coord_mercator_world.dta", id(na_id_world) fcolor(Reds) clmethod(eqint)
{res}
{com}. 
. clear

. use "Blowback (panel country-year) final"

. 
. sort country year

. 
. xtset iso3n year
{res}
{col 1}{txt:Panel variable: }{res:iso3n}{txt: (strongly balanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2001}}{txt: to }{res:{bind:2019}}{p_end}
{txt}{col 10}Delta: {res}1 unit

{com}. xtpcse ln_value_engdes_plusone l.v2x_libdem l.resources l.gdp_per_capita l.gdp_growth l.ln_population l.ln_tradeflow_comtrade_d l.political_stability_absence_of_v l.ln_newcom_worldbank_plusone l.ln_official_finance_usd_plusone l.idealpointdistance china_dist c.year, pairwise

{txt}Number of gaps in sample = {res}9
{txt}note: at least one disturbance covariance assumed 0, no common time periods
      between panels.
{res}
{txt}Linear regression, correlated panels corrected standard errors (PCSEs)

Group variable:{col 19}{res}iso3n{col 49}{txt}Number of obs{col 67}= {res}     2,402
{txt}Time variable:{col 19}{res}year{col 49}{txt}Number of groups{col 67}= {res}       164
{txt}Panels:{col 19}{res}correlated (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}no autocorrelation{col 63}{txt}min{col 67}= {res}         4
{txt}Sigma computed by {col 19}{res}pairwise selection{txt}{col 63}avg{col 67}= {res} 14.646341
{txt}{col 63}max{col 67}= {res}        15
{txt}Estimated covariances{col 28}= {res}    13530{col 49}{txt}R-squared{col 67}= {res}    0.5196
{txt}Estimated autocorrelations{col 28}= {res}        0{col 49}{txt}Wald chi2({res}12{txt}){col 67}= {res}   5645.99
{txt}Estimated coefficients{col 28}= {res}       13{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}Panel-corrected
{col 1}         ln_value_engdes_plusone{col 34}{c |} Coefficient{col 46}  std. err.{col 58}      z{col 66}   P>|z|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}v2x_libdem {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.780{col 46}{space 2}    0.269{col 57}{space 1}   -2.89{col 66}{space 3}0.004{col 74}{space 4}   -1.308{col 87}{space 3}   -0.252
{txt}{space 32} {c |}
{space 23}resources {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.066{col 46}{space 2}    0.004{col 57}{space 1}   17.75{col 66}{space 3}0.000{col 74}{space 4}    0.059{col 87}{space 3}    0.073
{txt}{space 32} {c |}
{space 18}gdp_per_capita {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.000{col 46}{space 2}    0.000{col 57}{space 1}    1.10{col 66}{space 3}0.271{col 74}{space 4}   -0.000{col 87}{space 3}    0.000
{txt}{space 32} {c |}
{space 22}gdp_growth {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.013{col 46}{space 2}    0.012{col 57}{space 1}   -1.10{col 66}{space 3}0.270{col 74}{space 4}   -0.036{col 87}{space 3}    0.010
{txt}{space 32} {c |}
{space 19}ln_population {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    1.035{col 46}{space 2}    0.047{col 57}{space 1}   22.09{col 66}{space 3}0.000{col 74}{space 4}    0.943{col 87}{space 3}    1.127
{txt}{space 32} {c |}
{space 9}ln_tradeflow_comtrade_d {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.137{col 46}{space 2}    0.022{col 57}{space 1}    6.30{col 66}{space 3}0.000{col 74}{space 4}    0.095{col 87}{space 3}    0.180
{txt}{space 32} {c |}
political_stability_absence_of_v {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.609{col 46}{space 2}    0.069{col 57}{space 1}    8.77{col 66}{space 3}0.000{col 74}{space 4}    0.473{col 87}{space 3}    0.745
{txt}{space 32} {c |}
{space 5}ln_newcom_worldbank_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.021{col 46}{space 2}    0.007{col 57}{space 1}   -3.05{col 66}{space 3}0.002{col 74}{space 4}   -0.034{col 87}{space 3}   -0.007
{txt}{space 32} {c |}
{space 1}ln_official_finance_usd_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.120{col 46}{space 2}    0.015{col 57}{space 1}    7.89{col 66}{space 3}0.000{col 74}{space 4}    0.090{col 87}{space 3}    0.150
{txt}{space 32} {c |}
{space 14}idealpointdistance {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.809{col 46}{space 2}    0.122{col 57}{space 1}   -6.65{col 66}{space 3}0.000{col 74}{space 4}   -1.047{col 87}{space 3}   -0.570
{txt}{space 32} {c |}
{space 22}china_dist {c |}{col 34}{res}{space 2}   -0.000{col 46}{space 2}    0.000{col 57}{space 1}   -4.15{col 66}{space 3}0.000{col 74}{space 4}   -0.000{col 87}{space 3}   -0.000
{txt}{space 28}year {c |}{col 34}{res}{space 2}    0.117{col 46}{space 2}    0.016{col 57}{space 1}    7.19{col 66}{space 3}0.000{col 74}{space 4}    0.085{col 87}{space 3}    0.149
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -244.535{col 46}{space 2}   32.721{col 57}{space 1}   -7.47{col 66}{space 3}0.000{col 74}{space 4} -308.667{col 87}{space 3} -180.404
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. outreg2 using "table_1.doc", replace
{txt}{stata `"shellout using `"table_1.doc"'"':table_1.doc}
{browse `"C:\ado\do"' :dir}{com} : {txt}{stata `"seeout using "table_1.txt""':seeout}

{com}. xtpcse ln_value_engdes_plusone l.v2x_libdem l.i.bri_mou l.resources l.gdp_per_capita l.gdp_growth l.ln_population l.ln_tradeflow_comtrade_d l.political_stability_absence_of_v l.ln_newcom_worldbank_plusone l.ln_official_finance_usd_plusone l.idealpointdistance china_dist c.year, pairwise

{txt}Number of gaps in sample = {res}9
{txt}note: at least one disturbance covariance assumed 0, no common time periods
      between panels.
{res}
{txt}Linear regression, correlated panels corrected standard errors (PCSEs)

Group variable:{col 19}{res}iso3n{col 49}{txt}Number of obs{col 67}= {res}     2,397
{txt}Time variable:{col 19}{res}year{col 49}{txt}Number of groups{col 67}= {res}       164
{txt}Panels:{col 19}{res}correlated (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}no autocorrelation{col 63}{txt}min{col 67}= {res}         4
{txt}Sigma computed by {col 19}{res}pairwise selection{txt}{col 63}avg{col 67}= {res} 14.615854
{txt}{col 63}max{col 67}= {res}        15
{txt}Estimated covariances{col 28}= {res}    13530{col 49}{txt}R-squared{col 67}= {res}    0.5194
{txt}Estimated autocorrelations{col 28}= {res}        0{col 49}{txt}Wald chi2({res}13{txt}){col 67}= {res}   5346.41
{txt}Estimated coefficients{col 28}= {res}       14{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}Panel-corrected
{col 1}         ln_value_engdes_plusone{col 34}{c |} Coefficient{col 46}  std. err.{col 58}      z{col 66}   P>|z|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}v2x_libdem {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.806{col 46}{space 2}    0.274{col 57}{space 1}   -2.94{col 66}{space 3}0.003{col 74}{space 4}   -1.343{col 87}{space 3}   -0.269
{txt}{space 32} {c |}
{space 23}L.bri_mou {c |}
{space 30}1  {c |}{col 34}{res}{space 2}   -0.449{col 46}{space 2}    0.295{col 57}{space 1}   -1.52{col 66}{space 3}0.127{col 74}{space 4}   -1.027{col 87}{space 3}    0.128
{txt}{space 32} {c |}
{space 23}resources {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.066{col 46}{space 2}    0.004{col 57}{space 1}   17.38{col 66}{space 3}0.000{col 74}{space 4}    0.058{col 87}{space 3}    0.073
{txt}{space 32} {c |}
{space 18}gdp_per_capita {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.000{col 46}{space 2}    0.000{col 57}{space 1}    1.05{col 66}{space 3}0.295{col 74}{space 4}   -0.000{col 87}{space 3}    0.000
{txt}{space 32} {c |}
{space 22}gdp_growth {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.013{col 46}{space 2}    0.012{col 57}{space 1}   -1.11{col 66}{space 3}0.268{col 74}{space 4}   -0.036{col 87}{space 3}    0.010
{txt}{space 32} {c |}
{space 19}ln_population {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    1.040{col 46}{space 2}    0.047{col 57}{space 1}   22.07{col 66}{space 3}0.000{col 74}{space 4}    0.947{col 87}{space 3}    1.132
{txt}{space 32} {c |}
{space 9}ln_tradeflow_comtrade_d {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.138{col 46}{space 2}    0.022{col 57}{space 1}    6.33{col 66}{space 3}0.000{col 74}{space 4}    0.095{col 87}{space 3}    0.181
{txt}{space 32} {c |}
political_stability_absence_of_v {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.612{col 46}{space 2}    0.070{col 57}{space 1}    8.75{col 66}{space 3}0.000{col 74}{space 4}    0.475{col 87}{space 3}    0.749
{txt}{space 32} {c |}
{space 5}ln_newcom_worldbank_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.021{col 46}{space 2}    0.007{col 57}{space 1}   -3.14{col 66}{space 3}0.002{col 74}{space 4}   -0.035{col 87}{space 3}   -0.008
{txt}{space 32} {c |}
{space 1}ln_official_finance_usd_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.121{col 46}{space 2}    0.015{col 57}{space 1}    7.83{col 66}{space 3}0.000{col 74}{space 4}    0.091{col 87}{space 3}    0.151
{txt}{space 32} {c |}
{space 14}idealpointdistance {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.805{col 46}{space 2}    0.122{col 57}{space 1}   -6.61{col 66}{space 3}0.000{col 74}{space 4}   -1.043{col 87}{space 3}   -0.566
{txt}{space 32} {c |}
{space 22}china_dist {c |}{col 34}{res}{space 2}   -0.000{col 46}{space 2}    0.000{col 57}{space 1}   -4.32{col 66}{space 3}0.000{col 74}{space 4}   -0.000{col 87}{space 3}   -0.000
{txt}{space 28}year {c |}{col 34}{res}{space 2}    0.121{col 46}{space 2}    0.016{col 57}{space 1}    7.77{col 66}{space 3}0.000{col 74}{space 4}    0.090{col 87}{space 3}    0.151
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -252.147{col 46}{space 2}   31.276{col 57}{space 1}   -8.06{col 66}{space 3}0.000{col 74}{space 4} -313.446{col 87}{space 3} -190.848
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. outreg2 using "table_1.doc", append
{txt}{stata `"shellout using `"table_1.doc"'"':table_1.doc}
{browse `"C:\ado\do"' :dir}{com} : {txt}{stata `"seeout using "table_1.txt""':seeout}

{com}. xtpcse ln_value_engdes_plusone l.c.v2x_libdem##l.i.bri_mou l.resources l.gdp_per_capita l.gdp_growth l.ln_population l.ln_tradeflow_comtrade_d l.political_stability_absence_of_v l.ln_newcom_worldbank_plusone l.ln_official_finance_usd_plusone l.idealpointdistance china_dist c.year, pairwise

{txt}Number of gaps in sample = {res}9
{txt}note: at least one disturbance covariance assumed 0, no common time periods
      between panels.
{res}
{txt}Linear regression, correlated panels corrected standard errors (PCSEs)

Group variable:{col 19}{res}iso3n{col 49}{txt}Number of obs{col 67}= {res}     2,397
{txt}Time variable:{col 19}{res}year{col 49}{txt}Number of groups{col 67}= {res}       164
{txt}Panels:{col 19}{res}correlated (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}no autocorrelation{col 63}{txt}min{col 67}= {res}         4
{txt}Sigma computed by {col 19}{res}pairwise selection{txt}{col 63}avg{col 67}= {res} 14.615854
{txt}{col 63}max{col 67}= {res}        15
{txt}Estimated covariances{col 28}= {res}    13530{col 49}{txt}R-squared{col 67}= {res}    0.5200
{txt}Estimated autocorrelations{col 28}= {res}        0{col 49}{txt}Wald chi2({res}14{txt}){col 67}= {res}   5220.14
{txt}Estimated coefficients{col 28}= {res}       15{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}Panel-corrected
{col 1}         ln_value_engdes_plusone{col 34}{c |} Coefficient{col 46}  std. err.{col 58}      z{col 66}   P>|z|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}v2x_libdem {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.756{col 46}{space 2}    0.268{col 57}{space 1}   -2.82{col 66}{space 3}0.005{col 74}{space 4}   -1.281{col 87}{space 3}   -0.231
{txt}{space 32} {c |}
{space 23}L.bri_mou {c |}
{space 30}1  {c |}{col 34}{res}{space 2}    0.553{col 46}{space 2}    0.485{col 57}{space 1}    1.14{col 66}{space 3}0.255{col 74}{space 4}   -0.398{col 87}{space 3}    1.504
{txt}{space 32} {c |}
{space 9}L.bri_mou#cL.v2x_libdem {c |}
{space 30}1  {c |}{col 34}{res}{space 2}   -2.530{col 46}{space 2}    1.255{col 57}{space 1}   -2.02{col 66}{space 3}0.044{col 74}{space 4}   -4.991{col 87}{space 3}   -0.070
{txt}{space 32} {c |}
{space 23}resources {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.066{col 46}{space 2}    0.004{col 57}{space 1}   17.48{col 66}{space 3}0.000{col 74}{space 4}    0.059{col 87}{space 3}    0.074
{txt}{space 32} {c |}
{space 18}gdp_per_capita {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.000{col 46}{space 2}    0.000{col 57}{space 1}    0.94{col 66}{space 3}0.346{col 74}{space 4}   -0.000{col 87}{space 3}    0.000
{txt}{space 32} {c |}
{space 22}gdp_growth {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.013{col 46}{space 2}    0.012{col 57}{space 1}   -1.07{col 66}{space 3}0.286{col 74}{space 4}   -0.036{col 87}{space 3}    0.011
{txt}{space 32} {c |}
{space 19}ln_population {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    1.039{col 46}{space 2}    0.047{col 57}{space 1}   22.10{col 66}{space 3}0.000{col 74}{space 4}    0.947{col 87}{space 3}    1.132
{txt}{space 32} {c |}
{space 9}ln_tradeflow_comtrade_d {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.137{col 46}{space 2}    0.022{col 57}{space 1}    6.27{col 66}{space 3}0.000{col 74}{space 4}    0.094{col 87}{space 3}    0.180
{txt}{space 32} {c |}
political_stability_absence_of_v {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.616{col 46}{space 2}    0.071{col 57}{space 1}    8.70{col 66}{space 3}0.000{col 74}{space 4}    0.477{col 87}{space 3}    0.755
{txt}{space 32} {c |}
{space 5}ln_newcom_worldbank_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.021{col 46}{space 2}    0.007{col 57}{space 1}   -3.11{col 66}{space 3}0.002{col 74}{space 4}   -0.035{col 87}{space 3}   -0.008
{txt}{space 32} {c |}
{space 1}ln_official_finance_usd_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.120{col 46}{space 2}    0.015{col 57}{space 1}    7.83{col 66}{space 3}0.000{col 74}{space 4}    0.090{col 87}{space 3}    0.150
{txt}{space 32} {c |}
{space 14}idealpointdistance {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.802{col 46}{space 2}    0.123{col 57}{space 1}   -6.51{col 66}{space 3}0.000{col 74}{space 4}   -1.044{col 87}{space 3}   -0.561
{txt}{space 32} {c |}
{space 22}china_dist {c |}{col 34}{res}{space 2}   -0.000{col 46}{space 2}    0.000{col 57}{space 1}   -4.30{col 66}{space 3}0.000{col 74}{space 4}   -0.000{col 87}{space 3}   -0.000
{txt}{space 28}year {c |}{col 34}{res}{space 2}    0.121{col 46}{space 2}    0.015{col 57}{space 1}    7.86{col 66}{space 3}0.000{col 74}{space 4}    0.091{col 87}{space 3}    0.152
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -253.736{col 46}{space 2}   31.135{col 57}{space 1}   -8.15{col 66}{space 3}0.000{col 74}{space 4} -314.760{col 87}{space 3} -192.713
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. outreg2 using "table_1.doc", append
{txt}{stata `"shellout using `"table_1.doc"'"':table_1.doc}
{browse `"C:\ado\do"' :dir}{com} : {txt}{stata `"seeout using "table_1.txt""':seeout}

{com}. xtpcse ln_value_engdes_plusone l.v2x_libdem l.i.bri_member l.resources l.gdp_per_capita l.gdp_growth l.ln_population l.ln_tradeflow_comtrade_d l.political_stability_absence_of_v l.ln_newcom_worldbank_plusone l.ln_official_finance_usd_plusone l.idealpointdistance china_dist c.year, pairwise

{txt}Number of gaps in sample = {res}9
{txt}note: at least one disturbance covariance assumed 0, no common time periods
      between panels.
{res}
{txt}Linear regression, correlated panels corrected standard errors (PCSEs)

Group variable:{col 19}{res}iso3n{col 49}{txt}Number of obs{col 67}= {res}     2,372
{txt}Time variable:{col 19}{res}year{col 49}{txt}Number of groups{col 67}= {res}       164
{txt}Panels:{col 19}{res}correlated (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}no autocorrelation{col 63}{txt}min{col 67}= {res}         4
{txt}Sigma computed by {col 19}{res}pairwise selection{txt}{col 63}avg{col 67}= {res} 14.463415
{txt}{col 63}max{col 67}= {res}        15
{txt}Estimated covariances{col 28}= {res}    13530{col 49}{txt}R-squared{col 67}= {res}    0.5210
{txt}Estimated autocorrelations{col 28}= {res}        0{col 49}{txt}Wald chi2({res}13{txt}){col 67}= {res}   5528.37
{txt}Estimated coefficients{col 28}= {res}       14{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}Panel-corrected
{col 1}         ln_value_engdes_plusone{col 34}{c |} Coefficient{col 46}  std. err.{col 58}      z{col 66}   P>|z|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}v2x_libdem {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.811{col 46}{space 2}    0.272{col 57}{space 1}   -2.98{col 66}{space 3}0.003{col 74}{space 4}   -1.345{col 87}{space 3}   -0.278
{txt}{space 32} {c |}
{space 20}L.bri_member {c |}
{space 30}1  {c |}{col 34}{res}{space 2}   -0.582{col 46}{space 2}    0.211{col 57}{space 1}   -2.76{col 66}{space 3}0.006{col 74}{space 4}   -0.996{col 87}{space 3}   -0.169
{txt}{space 32} {c |}
{space 23}resources {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.065{col 46}{space 2}    0.004{col 57}{space 1}   17.59{col 66}{space 3}0.000{col 74}{space 4}    0.058{col 87}{space 3}    0.072
{txt}{space 32} {c |}
{space 18}gdp_per_capita {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.000{col 46}{space 2}    0.000{col 57}{space 1}    0.84{col 66}{space 3}0.401{col 74}{space 4}   -0.000{col 87}{space 3}    0.000
{txt}{space 32} {c |}
{space 22}gdp_growth {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.013{col 46}{space 2}    0.012{col 57}{space 1}   -1.07{col 66}{space 3}0.284{col 74}{space 4}   -0.036{col 87}{space 3}    0.010
{txt}{space 32} {c |}
{space 19}ln_population {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    1.029{col 46}{space 2}    0.045{col 57}{space 1}   22.98{col 66}{space 3}0.000{col 74}{space 4}    0.942{col 87}{space 3}    1.117
{txt}{space 32} {c |}
{space 9}ln_tradeflow_comtrade_d {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.149{col 46}{space 2}    0.022{col 57}{space 1}    6.77{col 66}{space 3}0.000{col 74}{space 4}    0.106{col 87}{space 3}    0.192
{txt}{space 32} {c |}
political_stability_absence_of_v {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.604{col 46}{space 2}    0.068{col 57}{space 1}    8.89{col 66}{space 3}0.000{col 74}{space 4}    0.471{col 87}{space 3}    0.738
{txt}{space 32} {c |}
{space 5}ln_newcom_worldbank_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.020{col 46}{space 2}    0.007{col 57}{space 1}   -2.92{col 66}{space 3}0.003{col 74}{space 4}   -0.034{col 87}{space 3}   -0.007
{txt}{space 32} {c |}
{space 1}ln_official_finance_usd_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.121{col 46}{space 2}    0.015{col 57}{space 1}    7.82{col 66}{space 3}0.000{col 74}{space 4}    0.091{col 87}{space 3}    0.151
{txt}{space 32} {c |}
{space 14}idealpointdistance {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.796{col 46}{space 2}    0.125{col 57}{space 1}   -6.38{col 66}{space 3}0.000{col 74}{space 4}   -1.041{col 87}{space 3}   -0.551
{txt}{space 32} {c |}
{space 22}china_dist {c |}{col 34}{res}{space 2}   -0.000{col 46}{space 2}    0.000{col 57}{space 1}   -4.53{col 66}{space 3}0.000{col 74}{space 4}   -0.000{col 87}{space 3}   -0.000
{txt}{space 28}year {c |}{col 34}{res}{space 2}    0.123{col 46}{space 2}    0.015{col 57}{space 1}    8.22{col 66}{space 3}0.000{col 74}{space 4}    0.094{col 87}{space 3}    0.152
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -256.498{col 46}{space 2}   30.083{col 57}{space 1}   -8.53{col 66}{space 3}0.000{col 74}{space 4} -315.459{col 87}{space 3} -197.537
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. outreg2 using "table_1.doc", append
{txt}{stata `"shellout using `"table_1.doc"'"':table_1.doc}
{browse `"C:\ado\do"' :dir}{com} : {txt}{stata `"seeout using "table_1.txt""':seeout}

{com}. xtpcse ln_value_engdes_plusone l.c.v2x_libdem##l.i.bri_member l.resources l.gdp_per_capita l.gdp_growth l.ln_population l.ln_tradeflow_comtrade_d l.political_stability_absence_of_v l.ln_newcom_worldbank_plusone l.ln_official_finance_usd_plusone l.idealpointdistance china_dist c.year, pairwise

{txt}Number of gaps in sample = {res}9
{txt}note: at least one disturbance covariance assumed 0, no common time periods
      between panels.
{res}
{txt}Linear regression, correlated panels corrected standard errors (PCSEs)

Group variable:{col 19}{res}iso3n{col 49}{txt}Number of obs{col 67}= {res}     2,372
{txt}Time variable:{col 19}{res}year{col 49}{txt}Number of groups{col 67}= {res}       164
{txt}Panels:{col 19}{res}correlated (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}no autocorrelation{col 63}{txt}min{col 67}= {res}         4
{txt}Sigma computed by {col 19}{res}pairwise selection{txt}{col 63}avg{col 67}= {res} 14.463415
{txt}{col 63}max{col 67}= {res}        15
{txt}Estimated covariances{col 28}= {res}    13530{col 49}{txt}R-squared{col 67}= {res}    0.5217
{txt}Estimated autocorrelations{col 28}= {res}        0{col 49}{txt}Wald chi2({res}14{txt}){col 67}= {res}   5476.19
{txt}Estimated coefficients{col 28}= {res}       15{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}Panel-corrected
{col 1}         ln_value_engdes_plusone{col 34}{c |} Coefficient{col 46}  std. err.{col 58}      z{col 66}   P>|z|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}v2x_libdem {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.723{col 46}{space 2}    0.266{col 57}{space 1}   -2.72{col 66}{space 3}0.007{col 74}{space 4}   -1.245{col 87}{space 3}   -0.202
{txt}{space 32} {c |}
{space 20}L.bri_member {c |}
{space 30}1  {c |}{col 34}{res}{space 2}    0.162{col 46}{space 2}    0.279{col 57}{space 1}    0.58{col 66}{space 3}0.561{col 74}{space 4}   -0.385{col 87}{space 3}    0.709
{txt}{space 32} {c |}
{space 6}L.bri_member#cL.v2x_libdem {c |}
{space 30}1  {c |}{col 34}{res}{space 2}   -2.056{col 46}{space 2}    0.955{col 57}{space 1}   -2.15{col 66}{space 3}0.031{col 74}{space 4}   -3.928{col 87}{space 3}   -0.183
{txt}{space 32} {c |}
{space 23}resources {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.066{col 46}{space 2}    0.004{col 57}{space 1}   17.73{col 66}{space 3}0.000{col 74}{space 4}    0.059{col 87}{space 3}    0.073
{txt}{space 32} {c |}
{space 18}gdp_per_capita {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.000{col 46}{space 2}    0.000{col 57}{space 1}    0.64{col 66}{space 3}0.524{col 74}{space 4}   -0.000{col 87}{space 3}    0.000
{txt}{space 32} {c |}
{space 22}gdp_growth {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.012{col 46}{space 2}    0.012{col 57}{space 1}   -1.01{col 66}{space 3}0.314{col 74}{space 4}   -0.035{col 87}{space 3}    0.011
{txt}{space 32} {c |}
{space 19}ln_population {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    1.029{col 46}{space 2}    0.045{col 57}{space 1}   23.08{col 66}{space 3}0.000{col 74}{space 4}    0.941{col 87}{space 3}    1.116
{txt}{space 32} {c |}
{space 9}ln_tradeflow_comtrade_d {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.148{col 46}{space 2}    0.022{col 57}{space 1}    6.73{col 66}{space 3}0.000{col 74}{space 4}    0.105{col 87}{space 3}    0.191
{txt}{space 32} {c |}
political_stability_absence_of_v {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.611{col 46}{space 2}    0.069{col 57}{space 1}    8.85{col 66}{space 3}0.000{col 74}{space 4}    0.476{col 87}{space 3}    0.747
{txt}{space 32} {c |}
{space 5}ln_newcom_worldbank_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.020{col 46}{space 2}    0.007{col 57}{space 1}   -2.98{col 66}{space 3}0.003{col 74}{space 4}   -0.034{col 87}{space 3}   -0.007
{txt}{space 32} {c |}
{space 1}ln_official_finance_usd_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.120{col 46}{space 2}    0.015{col 57}{space 1}    7.82{col 66}{space 3}0.000{col 74}{space 4}    0.090{col 87}{space 3}    0.150
{txt}{space 32} {c |}
{space 14}idealpointdistance {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.789{col 46}{space 2}    0.128{col 57}{space 1}   -6.18{col 66}{space 3}0.000{col 74}{space 4}   -1.040{col 87}{space 3}   -0.539
{txt}{space 32} {c |}
{space 22}china_dist {c |}{col 34}{res}{space 2}   -0.000{col 46}{space 2}    0.000{col 57}{space 1}   -4.50{col 66}{space 3}0.000{col 74}{space 4}   -0.000{col 87}{space 3}   -0.000
{txt}{space 28}year {c |}{col 34}{res}{space 2}    0.124{col 46}{space 2}    0.015{col 57}{space 1}    8.34{col 66}{space 3}0.000{col 74}{space 4}    0.095{col 87}{space 3}    0.153
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -258.672{col 46}{space 2}   29.898{col 57}{space 1}   -8.65{col 66}{space 3}0.000{col 74}{space 4} -317.271{col 87}{space 3} -200.073
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. outreg2 using "table_1.doc", append
{txt}{stata `"shellout using `"table_1.doc"'"':table_1.doc}
{browse `"C:\ado\do"' :dir}{com} : {txt}{stata `"seeout using "table_1.txt""':seeout}

{com}. xtpcse ln_value_engdes_plusone l.c.v2x_libdem##l.i.bri_mou l.resources l.gdp_per_capita l.gdp_growth l.ln_population l.ln_tradeflow_comtrade_d l.political_stability_absence_of_v l.ln_newcom_worldbank_plusone l.ln_official_finance_usd_plusone l.idealpointdistance china_dist c.year, pairwise

{txt}Number of gaps in sample = {res}9
{txt}note: at least one disturbance covariance assumed 0, no common time periods
      between panels.
{res}
{txt}Linear regression, correlated panels corrected standard errors (PCSEs)

Group variable:{col 19}{res}iso3n{col 49}{txt}Number of obs{col 67}= {res}     2,397
{txt}Time variable:{col 19}{res}year{col 49}{txt}Number of groups{col 67}= {res}       164
{txt}Panels:{col 19}{res}correlated (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}no autocorrelation{col 63}{txt}min{col 67}= {res}         4
{txt}Sigma computed by {col 19}{res}pairwise selection{txt}{col 63}avg{col 67}= {res} 14.615854
{txt}{col 63}max{col 67}= {res}        15
{txt}Estimated covariances{col 28}= {res}    13530{col 49}{txt}R-squared{col 67}= {res}    0.5200
{txt}Estimated autocorrelations{col 28}= {res}        0{col 49}{txt}Wald chi2({res}14{txt}){col 67}= {res}   5220.14
{txt}Estimated coefficients{col 28}= {res}       15{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}Panel-corrected
{col 1}         ln_value_engdes_plusone{col 34}{c |} Coefficient{col 46}  std. err.{col 58}      z{col 66}   P>|z|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}v2x_libdem {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.756{col 46}{space 2}    0.268{col 57}{space 1}   -2.82{col 66}{space 3}0.005{col 74}{space 4}   -1.281{col 87}{space 3}   -0.231
{txt}{space 32} {c |}
{space 23}L.bri_mou {c |}
{space 30}1  {c |}{col 34}{res}{space 2}    0.553{col 46}{space 2}    0.485{col 57}{space 1}    1.14{col 66}{space 3}0.255{col 74}{space 4}   -0.398{col 87}{space 3}    1.504
{txt}{space 32} {c |}
{space 9}L.bri_mou#cL.v2x_libdem {c |}
{space 30}1  {c |}{col 34}{res}{space 2}   -2.530{col 46}{space 2}    1.255{col 57}{space 1}   -2.02{col 66}{space 3}0.044{col 74}{space 4}   -4.991{col 87}{space 3}   -0.070
{txt}{space 32} {c |}
{space 23}resources {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.066{col 46}{space 2}    0.004{col 57}{space 1}   17.48{col 66}{space 3}0.000{col 74}{space 4}    0.059{col 87}{space 3}    0.074
{txt}{space 32} {c |}
{space 18}gdp_per_capita {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.000{col 46}{space 2}    0.000{col 57}{space 1}    0.94{col 66}{space 3}0.346{col 74}{space 4}   -0.000{col 87}{space 3}    0.000
{txt}{space 32} {c |}
{space 22}gdp_growth {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.013{col 46}{space 2}    0.012{col 57}{space 1}   -1.07{col 66}{space 3}0.286{col 74}{space 4}   -0.036{col 87}{space 3}    0.011
{txt}{space 32} {c |}
{space 19}ln_population {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    1.039{col 46}{space 2}    0.047{col 57}{space 1}   22.10{col 66}{space 3}0.000{col 74}{space 4}    0.947{col 87}{space 3}    1.132
{txt}{space 32} {c |}
{space 9}ln_tradeflow_comtrade_d {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.137{col 46}{space 2}    0.022{col 57}{space 1}    6.27{col 66}{space 3}0.000{col 74}{space 4}    0.094{col 87}{space 3}    0.180
{txt}{space 32} {c |}
political_stability_absence_of_v {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.616{col 46}{space 2}    0.071{col 57}{space 1}    8.70{col 66}{space 3}0.000{col 74}{space 4}    0.477{col 87}{space 3}    0.755
{txt}{space 32} {c |}
{space 5}ln_newcom_worldbank_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.021{col 46}{space 2}    0.007{col 57}{space 1}   -3.11{col 66}{space 3}0.002{col 74}{space 4}   -0.035{col 87}{space 3}   -0.008
{txt}{space 32} {c |}
{space 1}ln_official_finance_usd_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.120{col 46}{space 2}    0.015{col 57}{space 1}    7.83{col 66}{space 3}0.000{col 74}{space 4}    0.090{col 87}{space 3}    0.150
{txt}{space 32} {c |}
{space 14}idealpointdistance {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.802{col 46}{space 2}    0.123{col 57}{space 1}   -6.51{col 66}{space 3}0.000{col 74}{space 4}   -1.044{col 87}{space 3}   -0.561
{txt}{space 32} {c |}
{space 22}china_dist {c |}{col 34}{res}{space 2}   -0.000{col 46}{space 2}    0.000{col 57}{space 1}   -4.30{col 66}{space 3}0.000{col 74}{space 4}   -0.000{col 87}{space 3}   -0.000
{txt}{space 28}year {c |}{col 34}{res}{space 2}    0.121{col 46}{space 2}    0.015{col 57}{space 1}    7.86{col 66}{space 3}0.000{col 74}{space 4}    0.091{col 87}{space 3}    0.152
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -253.736{col 46}{space 2}   31.135{col 57}{space 1}   -8.15{col 66}{space 3}0.000{col 74}{space 4} -314.760{col 87}{space 3} -192.713
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, at(l.bri_mou=(0 1) l.c.v2x_libdem=(0(0.5)1))
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,397}
{txt}{col 1}Model VCE: {res:Panel-corrected}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Fitted values, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 12:L.v2x_libdem} = {res:{ralign 2:0}}
{lalign 7:}{space 0}{lalign 12:L.bri_mou} = {res:{ralign 2:0}}
{lalign 7:2._at: }{space 0}{lalign 12:L.v2x_libdem} = {res:{ralign 2:0}}
{lalign 7:}{space 0}{lalign 12:L.bri_mou} = {res:{ralign 2:1}}
{lalign 7:3._at: }{space 0}{lalign 12:L.v2x_libdem} = {res:{ralign 2:.5}}
{lalign 7:}{space 0}{lalign 12:L.bri_mou} = {res:{ralign 2:0}}
{lalign 7:4._at: }{space 0}{lalign 12:L.v2x_libdem} = {res:{ralign 2:.5}}
{lalign 7:}{space 0}{lalign 12:L.bri_mou} = {res:{ralign 2:1}}
{lalign 7:5._at: }{space 0}{lalign 12:L.v2x_libdem} = {res:{ralign 2:1}}
{lalign 7:}{space 0}{lalign 12:L.bri_mou} = {res:{ralign 2:0}}
{lalign 7:6._at: }{space 0}{lalign 12:L.v2x_libdem} = {res:{ralign 2:1}}
{lalign 7:}{space 0}{lalign 12:L.bri_mou} = {res:{ralign 2:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}    8.966{col 26}{space 2}    0.125{col 37}{space 1}   71.63{col 46}{space 3}0.000{col 54}{space 4}    8.721{col 67}{space 3}    9.211
{txt}{space 10}2  {c |}{col 14}{res}{space 2}    9.519{col 26}{space 2}    0.491{col 37}{space 1}   19.39{col 46}{space 3}0.000{col 54}{space 4}    8.557{col 67}{space 3}   10.481
{txt}{space 10}3  {c |}{col 14}{res}{space 2}    8.588{col 26}{space 2}    0.066{col 37}{space 1}  130.40{col 46}{space 3}0.000{col 54}{space 4}    8.459{col 67}{space 3}    8.717
{txt}{space 10}4  {c |}{col 14}{res}{space 2}    7.876{col 26}{space 2}    0.360{col 37}{space 1}   21.86{col 46}{space 3}0.000{col 54}{space 4}    7.170{col 67}{space 3}    8.582
{txt}{space 10}5  {c |}{col 14}{res}{space 2}    8.210{col 26}{space 2}    0.170{col 37}{space 1}   48.31{col 46}{space 3}0.000{col 54}{space 4}    7.877{col 67}{space 3}    8.543
{txt}{space 10}6  {c |}{col 14}{res}{space 2}    6.233{col 26}{space 2}    0.892{col 37}{space 1}    6.99{col 46}{space 3}0.000{col 54}{space 4}    4.486{col 67}{space 3}    7.981
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, noci
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:L.bri_mou L.v2x_libdem}{p_end}
{res}
{com}. 
. clear

. use "Blowback (panel country-year) final"

. 
. sort country year

. 
. xtset iso3n year
{res}
{col 1}{txt:Panel variable: }{res:iso3n}{txt: (strongly balanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2001}}{txt: to }{res:{bind:2019}}{p_end}
{txt}{col 10}Delta: {res}1 unit

{com}. 
. egen sv2x_libdem = std(v2x_libdem)
{txt}(775 missing values generated)

{com}. 
. egen sresources = std(resources)
{txt}(433 missing values generated)

{com}. 
. egen sstability_absence_of_v = std(political_stability_absence_of_v)
{txt}(272 missing values generated)

{com}. 
. egen sgdp_per_capita = std(gdp_per_capita)
{txt}(402 missing values generated)

{com}. 
. egen sgdp_growth = std(gdp_growth)
{txt}(412 missing values generated)

{com}. 
. egen sln_population = std(ln_population)
{txt}(315 missing values generated)

{com}. 
. egen schina_dist = std(china_dist)
{txt}(59 missing values generated)

{com}. 
. egen sidealpointdistance = std(idealpointdistance)
{txt}(457 missing values generated)

{com}. 
. egen sln_newcom_worldbank_plusone = std(ln_newcom_worldbank_plusone)

. 
. egen sln_official_finance_usd_plusone = std(ln_official_finance_usd_plusone)
{txt}(661 missing values generated)

{com}. 
. egen sln_tradeflow_comtrade_d = std(ln_tradeflow_comtrade_d)
{txt}(588 missing values generated)

{com}. 
. egen std_year = std(year)

. 
. xtpcse ln_value_engdes_plusone l.c.sv2x_libdem l.sresources l.sgdp_per_capita l.sgdp_growth l.sln_population l.sln_tradeflow_comtrade_d l.sstability_absence_of_v l.sln_newcom_worldbank_plusone l.sln_official_finance_usd_plusone l.sidealpointdistance schina_dist c.std_year, pairwise

{txt}Number of gaps in sample = {res}9
{txt}note: at least one disturbance covariance assumed 0, no common time periods
      between panels.
{res}
{txt}Linear regression, correlated panels corrected standard errors (PCSEs)

Group variable:{col 19}{res}iso3n{col 49}{txt}Number of obs{col 67}= {res}     2,402
{txt}Time variable:{col 19}{res}year{col 49}{txt}Number of groups{col 67}= {res}       164
{txt}Panels:{col 19}{res}correlated (unbalanced){col 49}{txt}Obs per group:
Autocorrelation:{col 19}{res}no autocorrelation{col 63}{txt}min{col 67}= {res}         4
{txt}Sigma computed by {col 19}{res}pairwise selection{txt}{col 63}avg{col 67}= {res} 14.646341
{txt}{col 63}max{col 67}= {res}        15
{txt}Estimated covariances{col 28}= {res}    13530{col 49}{txt}R-squared{col 67}= {res}    0.5196
{txt}Estimated autocorrelations{col 28}= {res}        0{col 49}{txt}Wald chi2({res}12{txt}){col 67}= {res}   5645.99
{txt}Estimated coefficients{col 28}= {res}       13{col 49}{txt}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}Panel-corrected
{col 1}         ln_value_engdes_plusone{col 34}{c |} Coefficient{col 46}  std. err.{col 58}      z{col 66}   P>|z|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}sv2x_libdem {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.210{col 46}{space 2}    0.073{col 57}{space 1}   -2.89{col 66}{space 3}0.004{col 74}{space 4}   -0.352{col 87}{space 3}   -0.068
{txt}{space 32} {c |}
{space 22}sresources {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.750{col 46}{space 2}    0.042{col 57}{space 1}   17.75{col 66}{space 3}0.000{col 74}{space 4}    0.667{col 87}{space 3}    0.833
{txt}{space 32} {c |}
{space 17}sgdp_per_capita {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.112{col 46}{space 2}    0.102{col 57}{space 1}    1.10{col 66}{space 3}0.271{col 74}{space 4}   -0.087{col 87}{space 3}    0.312
{txt}{space 32} {c |}
{space 21}sgdp_growth {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.067{col 46}{space 2}    0.060{col 57}{space 1}   -1.10{col 66}{space 3}0.270{col 74}{space 4}   -0.185{col 87}{space 3}    0.052
{txt}{space 32} {c |}
{space 18}sln_population {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    2.282{col 46}{space 2}    0.103{col 57}{space 1}   22.09{col 66}{space 3}0.000{col 74}{space 4}    2.080{col 87}{space 3}    2.485
{txt}{space 32} {c |}
{space 8}sln_tradeflow_comtrade_d {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.586{col 46}{space 2}    0.093{col 57}{space 1}    6.30{col 66}{space 3}0.000{col 74}{space 4}    0.403{col 87}{space 3}    0.768
{txt}{space 32} {c |}
{space 9}sstability_absence_of_v {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    0.609{col 46}{space 2}    0.069{col 57}{space 1}    8.77{col 66}{space 3}0.000{col 74}{space 4}    0.473{col 87}{space 3}    0.745
{txt}{space 32} {c |}
{space 4}sln_newcom_worldbank_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.185{col 46}{space 2}    0.061{col 57}{space 1}   -3.05{col 66}{space 3}0.002{col 74}{space 4}   -0.305{col 87}{space 3}   -0.066
{txt}{space 32} {c |}
sln_official_finance_usd_plusone {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}    1.068{col 46}{space 2}    0.135{col 57}{space 1}    7.89{col 66}{space 3}0.000{col 74}{space 4}    0.803{col 87}{space 3}    1.334
{txt}{space 32} {c |}
{space 13}sidealpointdistance {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}   -0.569{col 46}{space 2}    0.086{col 57}{space 1}   -6.65{col 66}{space 3}0.000{col 74}{space 4}   -0.736{col 87}{space 3}   -0.401
{txt}{space 32} {c |}
{space 21}schina_dist {c |}{col 34}{res}{space 2}   -0.273{col 46}{space 2}    0.066{col 57}{space 1}   -4.15{col 66}{space 3}0.000{col 74}{space 4}   -0.402{col 87}{space 3}   -0.144
{txt}{space 24}std_year {c |}{col 34}{res}{space 2}    0.640{col 46}{space 2}    0.089{col 57}{space 1}    7.19{col 66}{space 3}0.000{col 74}{space 4}    0.466{col 87}{space 3}    0.815
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}    7.687{col 46}{space 2}    0.074{col 57}{space 1}  104.22{col 66}{space 3}0.000{col 74}{space 4}    7.542{col 87}{space 3}    7.831
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store results

. 
. coefplot results, nolabels drop(0bL.bri_mou 0bL.leader_visit year _cons) mlabel(cond(@pval<.01, "***", cond(@pval<.05, "**", cond(@pval<.1, "*","")))) xline(0)
{res}
{com}. 
. clear

. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\ghiso\Dropbox\articoli fatti facenti e da fare\China global contracting\BLOWBACK\ISQ\finale\blowback.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}30 May 2024, 17:37:06
{txt}{.-}
{smcl}
{txt}{sf}{ul off}